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bert_baseline_prompt_adherence_task4_fold2

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  1. README.md +225 -0
  2. config.json +33 -0
  3. model.safetensors +3 -0
  4. runs/Aug22_10-22-58_0095ffe889f2/events.out.tfevents.1724322179.0095ffe889f2.25.0 +3 -0
  5. runs/Aug22_10-45-22_0095ffe889f2/events.out.tfevents.1724323523.0095ffe889f2.25.1 +3 -0
  6. runs/Aug22_11-07-47_0095ffe889f2/events.out.tfevents.1724324868.0095ffe889f2.25.2 +3 -0
  7. runs/Aug22_11-30-11_0095ffe889f2/events.out.tfevents.1724326212.0095ffe889f2.25.3 +3 -0
  8. runs/Aug22_11-52-37_0095ffe889f2/events.out.tfevents.1724327557.0095ffe889f2.25.4 +3 -0
  9. runs/Aug22_12-15-04_0095ffe889f2/events.out.tfevents.1724328905.0095ffe889f2.25.5 +3 -0
  10. runs/Aug22_12-38-55_0095ffe889f2/events.out.tfevents.1724330336.0095ffe889f2.25.6 +3 -0
  11. runs/Aug22_13-02-35_0095ffe889f2/events.out.tfevents.1724331756.0095ffe889f2.25.7 +3 -0
  12. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: google-bert/bert-base-cased
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: bert_baseline_prompt_adherence_task4_fold1
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # bert_baseline_prompt_adherence_task4_fold1
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+
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+ This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3429
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+ - Qwk: 0.6965
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+ - Mse: 0.3451
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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+ |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
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+ | No log | 0.0299 | 2 | 1.2997 | 0.0 | 1.2996 |
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+ | No log | 0.0597 | 4 | 0.9870 | 0.0 | 0.9863 |
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+ | No log | 0.0896 | 6 | 0.8610 | 0.1622 | 0.8602 |
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+ | No log | 0.1194 | 8 | 0.7910 | 0.3254 | 0.7902 |
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+ | No log | 0.1493 | 10 | 0.7419 | 0.3349 | 0.7411 |
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+ | No log | 0.1791 | 12 | 0.6895 | 0.3405 | 0.6888 |
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+ | No log | 0.2090 | 14 | 0.6736 | 0.3334 | 0.6729 |
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+ | No log | 0.2388 | 16 | 0.6161 | 0.3169 | 0.6156 |
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+ | No log | 0.2687 | 18 | 0.5776 | 0.3335 | 0.5773 |
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+ | No log | 0.2985 | 20 | 0.5440 | 0.3564 | 0.5439 |
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+ | No log | 0.3284 | 22 | 0.5294 | 0.3513 | 0.5294 |
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+ | No log | 0.3582 | 24 | 0.5441 | 0.3567 | 0.5441 |
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+ | No log | 0.3881 | 26 | 0.5845 | 0.3341 | 0.5845 |
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+ | No log | 0.4179 | 28 | 0.5052 | 0.3525 | 0.5054 |
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+ | No log | 0.4478 | 30 | 0.4689 | 0.3952 | 0.4693 |
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+ | No log | 0.4776 | 32 | 0.4507 | 0.4713 | 0.4515 |
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+ | No log | 0.5075 | 34 | 0.4447 | 0.5988 | 0.4458 |
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+ | No log | 0.5373 | 36 | 0.4397 | 0.5916 | 0.4406 |
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+ | No log | 0.5672 | 38 | 0.4363 | 0.5100 | 0.4372 |
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+ | No log | 0.5970 | 40 | 0.4431 | 0.4437 | 0.4440 |
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+ | No log | 0.6269 | 42 | 0.4320 | 0.4727 | 0.4329 |
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+ | No log | 0.6567 | 44 | 0.4461 | 0.4646 | 0.4468 |
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+ | No log | 0.6866 | 46 | 0.5366 | 0.3894 | 0.5371 |
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+ | No log | 0.7164 | 48 | 0.5277 | 0.4014 | 0.5285 |
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+ | No log | 0.7463 | 50 | 0.5140 | 0.4274 | 0.5148 |
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+ | No log | 0.7761 | 52 | 0.4792 | 0.4382 | 0.4801 |
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+ | No log | 0.8060 | 54 | 0.4166 | 0.5799 | 0.4178 |
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+ | No log | 0.8358 | 56 | 0.4074 | 0.6111 | 0.4086 |
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+ | No log | 0.8657 | 58 | 0.4061 | 0.5946 | 0.4071 |
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+ | No log | 0.8955 | 60 | 0.4387 | 0.6676 | 0.4402 |
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+ | No log | 0.9254 | 62 | 0.4545 | 0.6832 | 0.4563 |
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+ | No log | 0.9552 | 64 | 0.4176 | 0.6789 | 0.4191 |
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+ | No log | 0.9851 | 66 | 0.3998 | 0.6517 | 0.4012 |
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+ | No log | 1.0149 | 68 | 0.3927 | 0.5971 | 0.3938 |
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+ | No log | 1.0448 | 70 | 0.4048 | 0.5370 | 0.4058 |
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+ | No log | 1.0746 | 72 | 0.4185 | 0.5194 | 0.4195 |
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+ | No log | 1.1045 | 74 | 0.4016 | 0.5892 | 0.4030 |
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+ | No log | 1.1343 | 76 | 0.4243 | 0.6545 | 0.4264 |
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+ | No log | 1.1642 | 78 | 0.4483 | 0.6704 | 0.4507 |
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+ | No log | 1.1940 | 80 | 0.4439 | 0.6644 | 0.4463 |
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+ | No log | 1.2239 | 82 | 0.4148 | 0.6566 | 0.4168 |
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+ | No log | 1.2537 | 84 | 0.4192 | 0.5616 | 0.4206 |
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+ | No log | 1.2836 | 86 | 0.4399 | 0.5035 | 0.4410 |
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+ | No log | 1.3134 | 88 | 0.4054 | 0.5633 | 0.4067 |
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+ | No log | 1.3433 | 90 | 0.3853 | 0.6582 | 0.3870 |
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+ | No log | 1.3731 | 92 | 0.4131 | 0.6993 | 0.4151 |
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+ | No log | 1.4030 | 94 | 0.3962 | 0.6916 | 0.3979 |
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+ | No log | 1.4328 | 96 | 0.3594 | 0.6572 | 0.3607 |
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+ | No log | 1.4627 | 98 | 0.3664 | 0.5143 | 0.3673 |
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+ | No log | 1.4925 | 100 | 0.4156 | 0.4447 | 0.4162 |
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+ | No log | 1.5224 | 102 | 0.4218 | 0.4482 | 0.4224 |
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+ | No log | 1.5522 | 104 | 0.3715 | 0.5582 | 0.3725 |
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+ | No log | 1.5821 | 106 | 0.3706 | 0.6715 | 0.3725 |
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+ | No log | 1.6119 | 108 | 0.4078 | 0.6995 | 0.4101 |
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+ | No log | 1.6418 | 110 | 0.3994 | 0.6783 | 0.4016 |
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+ | No log | 1.6716 | 112 | 0.3809 | 0.6254 | 0.3825 |
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+ | No log | 1.7015 | 114 | 0.4242 | 0.5077 | 0.4250 |
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+ | No log | 1.7313 | 116 | 0.4240 | 0.4978 | 0.4249 |
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+ | No log | 1.7612 | 118 | 0.3839 | 0.6035 | 0.3854 |
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+ | No log | 1.7910 | 120 | 0.3783 | 0.6906 | 0.3805 |
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+ | No log | 1.8209 | 122 | 0.3898 | 0.6926 | 0.3921 |
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+ | No log | 1.8507 | 124 | 0.4169 | 0.7140 | 0.4194 |
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+ | No log | 1.8806 | 126 | 0.4184 | 0.7111 | 0.4210 |
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+ | No log | 1.9104 | 128 | 0.3945 | 0.7044 | 0.3968 |
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+ | No log | 1.9403 | 130 | 0.3799 | 0.6717 | 0.3820 |
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+ | No log | 1.9701 | 132 | 0.3735 | 0.6295 | 0.3752 |
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+ | No log | 2.0 | 134 | 0.3608 | 0.6292 | 0.3622 |
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+ | No log | 2.0299 | 136 | 0.3490 | 0.6771 | 0.3506 |
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+ | No log | 2.0597 | 138 | 0.3635 | 0.7017 | 0.3654 |
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+ | No log | 2.0896 | 140 | 0.3730 | 0.7110 | 0.3749 |
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+ | No log | 2.1194 | 142 | 0.3647 | 0.7068 | 0.3666 |
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+ | No log | 2.1493 | 144 | 0.3526 | 0.6935 | 0.3545 |
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+ | No log | 2.1791 | 146 | 0.3401 | 0.6716 | 0.3417 |
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+ | No log | 2.2090 | 148 | 0.3390 | 0.6205 | 0.3404 |
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+ | No log | 2.2388 | 150 | 0.3405 | 0.6505 | 0.3421 |
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+ | No log | 2.2687 | 152 | 0.3546 | 0.6987 | 0.3565 |
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+ | No log | 2.2985 | 154 | 0.3453 | 0.6828 | 0.3469 |
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+ | No log | 2.3284 | 156 | 0.3424 | 0.6718 | 0.3438 |
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+ | No log | 2.3582 | 158 | 0.3431 | 0.5745 | 0.3440 |
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+ | No log | 2.3881 | 160 | 0.3555 | 0.4936 | 0.3562 |
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+ | No log | 2.4179 | 162 | 0.3510 | 0.5091 | 0.3518 |
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+ | No log | 2.4478 | 164 | 0.3379 | 0.5857 | 0.3392 |
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+ | No log | 2.4776 | 166 | 0.3539 | 0.6723 | 0.3561 |
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+ | No log | 2.5075 | 168 | 0.4091 | 0.7014 | 0.4123 |
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+ | No log | 2.5373 | 170 | 0.4319 | 0.7118 | 0.4353 |
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+ | No log | 2.5672 | 172 | 0.4132 | 0.6979 | 0.4163 |
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+ | No log | 2.5970 | 174 | 0.3778 | 0.6743 | 0.3804 |
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+ | No log | 2.6269 | 176 | 0.3571 | 0.6573 | 0.3592 |
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+ | No log | 2.6567 | 178 | 0.3502 | 0.6409 | 0.3519 |
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+ | No log | 2.6866 | 180 | 0.3458 | 0.6343 | 0.3473 |
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+ | No log | 2.7164 | 182 | 0.3353 | 0.6575 | 0.3370 |
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+ | No log | 2.7463 | 184 | 0.3465 | 0.7057 | 0.3486 |
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+ | No log | 2.7761 | 186 | 0.3751 | 0.7141 | 0.3774 |
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+ | No log | 2.8060 | 188 | 0.3793 | 0.7215 | 0.3818 |
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+ | No log | 2.8358 | 190 | 0.3451 | 0.7001 | 0.3473 |
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+ | No log | 2.8657 | 192 | 0.3251 | 0.6359 | 0.3267 |
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+ | No log | 2.8955 | 194 | 0.3367 | 0.6175 | 0.3381 |
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+ | No log | 2.9254 | 196 | 0.3456 | 0.6149 | 0.3472 |
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+ | No log | 2.9552 | 198 | 0.3528 | 0.6579 | 0.3550 |
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+ | No log | 2.9851 | 200 | 0.3853 | 0.6963 | 0.3881 |
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+ | No log | 3.0149 | 202 | 0.4288 | 0.7176 | 0.4320 |
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+ | No log | 3.0448 | 204 | 0.4301 | 0.7144 | 0.4332 |
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+ | No log | 3.0746 | 206 | 0.4069 | 0.7131 | 0.4098 |
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+ | No log | 3.1045 | 208 | 0.3700 | 0.6929 | 0.3725 |
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+ | No log | 3.1343 | 210 | 0.3502 | 0.6705 | 0.3523 |
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+ | No log | 3.1642 | 212 | 0.3395 | 0.6416 | 0.3413 |
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+ | No log | 3.1940 | 214 | 0.3316 | 0.6544 | 0.3336 |
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+ | No log | 3.2239 | 216 | 0.3334 | 0.6867 | 0.3355 |
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+ | No log | 3.2537 | 218 | 0.3325 | 0.6927 | 0.3346 |
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+ | No log | 3.2836 | 220 | 0.3365 | 0.7105 | 0.3387 |
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+ | No log | 3.3134 | 222 | 0.3611 | 0.7252 | 0.3635 |
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+ | No log | 3.3433 | 224 | 0.3789 | 0.7278 | 0.3814 |
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+ | No log | 3.3731 | 226 | 0.3702 | 0.7302 | 0.3726 |
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+ | No log | 3.4030 | 228 | 0.3389 | 0.7117 | 0.3411 |
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+ | No log | 3.4328 | 230 | 0.3301 | 0.7114 | 0.3321 |
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+ | No log | 3.4627 | 232 | 0.3439 | 0.7201 | 0.3461 |
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+ | No log | 3.4925 | 234 | 0.3532 | 0.7235 | 0.3555 |
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+ | No log | 3.5224 | 236 | 0.3476 | 0.7121 | 0.3498 |
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+ | No log | 3.5522 | 238 | 0.3418 | 0.6758 | 0.3437 |
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+ | No log | 3.5821 | 240 | 0.3561 | 0.6272 | 0.3578 |
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+ | No log | 3.6119 | 242 | 0.3681 | 0.6162 | 0.3696 |
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+ | No log | 3.6418 | 244 | 0.3627 | 0.6272 | 0.3643 |
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+ | No log | 3.6716 | 246 | 0.3525 | 0.6444 | 0.3542 |
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+ | No log | 3.7015 | 248 | 0.3454 | 0.6917 | 0.3474 |
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+ | No log | 3.7313 | 250 | 0.3505 | 0.7113 | 0.3527 |
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+ | No log | 3.7612 | 252 | 0.3469 | 0.7071 | 0.3491 |
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+ | No log | 3.7910 | 254 | 0.3362 | 0.6957 | 0.3383 |
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+ | No log | 3.8209 | 256 | 0.3287 | 0.6757 | 0.3305 |
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+ | No log | 3.8507 | 258 | 0.3272 | 0.6724 | 0.3289 |
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+ | No log | 3.8806 | 260 | 0.3260 | 0.6841 | 0.3278 |
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+ | No log | 3.9104 | 262 | 0.3300 | 0.6872 | 0.3320 |
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+ | No log | 3.9403 | 264 | 0.3386 | 0.6994 | 0.3408 |
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+ | No log | 3.9701 | 266 | 0.3416 | 0.7043 | 0.3439 |
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+ | No log | 4.0 | 268 | 0.3345 | 0.6892 | 0.3367 |
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+ | No log | 4.0299 | 270 | 0.3343 | 0.6859 | 0.3364 |
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+ | No log | 4.0597 | 272 | 0.3305 | 0.6826 | 0.3325 |
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+ | No log | 4.0896 | 274 | 0.3276 | 0.6700 | 0.3294 |
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+ | No log | 4.1194 | 276 | 0.3268 | 0.6716 | 0.3286 |
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+ | No log | 4.1493 | 278 | 0.3293 | 0.6898 | 0.3313 |
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+ | No log | 4.1791 | 280 | 0.3369 | 0.6857 | 0.3391 |
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+ | No log | 4.2090 | 282 | 0.3522 | 0.7138 | 0.3547 |
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+ | No log | 4.2388 | 284 | 0.3614 | 0.7148 | 0.3639 |
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+ | No log | 4.2687 | 286 | 0.3626 | 0.7138 | 0.3652 |
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+ | No log | 4.2985 | 288 | 0.3681 | 0.7158 | 0.3707 |
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+ | No log | 4.3284 | 290 | 0.3655 | 0.7138 | 0.3680 |
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+ | No log | 4.3582 | 292 | 0.3561 | 0.7136 | 0.3585 |
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+ | No log | 4.3881 | 294 | 0.3460 | 0.6998 | 0.3482 |
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+ | No log | 4.4179 | 296 | 0.3429 | 0.7007 | 0.3451 |
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+ | No log | 4.4478 | 298 | 0.3402 | 0.6887 | 0.3423 |
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+ | No log | 4.4776 | 300 | 0.3399 | 0.6844 | 0.3420 |
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+ | No log | 4.5075 | 302 | 0.3402 | 0.6829 | 0.3422 |
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+ | No log | 4.5373 | 304 | 0.3424 | 0.6789 | 0.3444 |
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+ | No log | 4.5672 | 306 | 0.3445 | 0.6804 | 0.3466 |
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+ | No log | 4.5970 | 308 | 0.3469 | 0.6954 | 0.3491 |
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+ | No log | 4.6269 | 310 | 0.3513 | 0.7028 | 0.3536 |
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+ | No log | 4.6567 | 312 | 0.3553 | 0.7154 | 0.3576 |
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+ | No log | 4.6866 | 314 | 0.3573 | 0.7193 | 0.3597 |
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+ | No log | 4.7164 | 316 | 0.3576 | 0.7193 | 0.3600 |
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+ | No log | 4.7463 | 318 | 0.3559 | 0.7193 | 0.3582 |
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+ | No log | 4.7761 | 320 | 0.3538 | 0.7125 | 0.3561 |
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+ | No log | 4.8060 | 322 | 0.3516 | 0.7125 | 0.3540 |
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+ | No log | 4.8358 | 324 | 0.3495 | 0.7125 | 0.3518 |
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+ | No log | 4.8657 | 326 | 0.3465 | 0.7100 | 0.3488 |
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+ | No log | 4.8955 | 328 | 0.3450 | 0.7080 | 0.3472 |
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+ | No log | 4.9254 | 330 | 0.3441 | 0.7061 | 0.3463 |
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+ | No log | 4.9552 | 332 | 0.3435 | 0.6965 | 0.3457 |
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+ | No log | 4.9851 | 334 | 0.3429 | 0.6965 | 0.3451 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.3
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+ - Pytorch 2.1.2
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
config.json ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "_name_or_path": "google-bert/bert-base-cased",
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "LABEL_0"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "LABEL_0": 0
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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+ "position_embedding_type": "absolute",
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+ "problem_type": "regression",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.42.3",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 28996
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+ }
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